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ICSE 2022
Sun 8 - Fri 27 May 2022
Michael Pradel

Registered user since Fri 18 Jul 2014

Name:Michael Pradel

Michael Pradel is a full professor at University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt, and a sabbatical at Facebook. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in dynamic program analysis, test generation, concurrency, performance profiling, JavaScript-based web applications, and machine learning-based program analysis.

Affiliation:University of Stuttgart
Research interests:Software Engineering, Programming Languages, Program Analysis, Machine Learning


ICSE 2022 Finding good research problems (2 short talks + discussion)
Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies
CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code
Committee Member in Program Committee within the Technical Track-track
Nessie: Automatically Testing JavaScript APIs with Asynchronous Callbacks
Q-SE 2022 Bugs in Quantum Computing Platforms: An Empirical Study
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